Department of Statistics

Statistics Jobs

Assistant or Associate Professor
Louisiana State University

Company Information: The Louisiana State University Health Sciences Center in New Orleans (LSUHSC-N.O.) is located within the biomedical district of New Orleans. It consists of six professional schools and twelve Centers of Excellence. The School of Public Health (SPH) provides five Master’s level and three PhD level programs in addition to its numerous research and service programs in order to advance the public’s health and well-being through education, research, and service, with a focus on issues affecting Louisiana. The SPH is also CEPH accredited and maintains a diverse research portfolio with a tradition of funding from NIH, CDC, and a variety of other state and federal agencies and private institutions.

The Biostatistics Program faculty have extensive research collaborations with other departments and research centers throughout the Health Sciences Center. We offer a Master of Science and Doctor of Philosophy degree in Biostatistics and a Master of Public Health degree with a concentration in Biostatistics. Visit to learn more about us.

*LSU Health is an Equal Opportunity Employer for females, minorities, individuals with disabilities, and protected veterans.

Position Title: Assistant or Associate Professor- Tenure Track

Duties and Responsibilities: The successful candidate will be expected to teach biostatistics courses to majors and non-majors, advise biostatistics PhD/MS/MPH students, and contribute to the mission of the University and statistical profession. S/he is expected to establish and maintain an independent, externally funded research program and actively participate in collaborative research.

Position Qualifications: Minimum Qualifications:
A PhD in Biostatistics and/or Statistics

Preferred Qualifications:
Demonstrated track record in development of statistical methodology and teaching experience

Biomedical/public health statistical consulting experience

Experience or expertise in:

Developing novel statistical methodologies

Statistical inferences, Generalized linear (mixed-effects) modeling, and Time Series Analysis

Computational algorithms for the analysis of Big Data in biomedical/public health research, including large scale, complex social network and electronic medical record data for evaluation of public health risks/interventions or high throughput sequencing data, neuro-imaging, and real-time physiologic data

Salary Range: Faculty appointment level and salary will be commensurate with the candidate’s experience and qualifications



Application Information: Qualified candidates should submit one (1) MS Word or PDF document containing a cover letter, CV, a statement of research interests, a statement of teaching philosophy, and the names and contact information of three references to

Contact Email:

Application Deadline: